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Ivanilse Calderon; Williamson Silva; Eduardo Feitosa – Informatics in Education, 2024
Teaching programming is a complex process requiring learning to develop different skills. To minimize the challenges faced in the classroom, instructors have been adopting active methodologies in teaching computer programming. This article presents a Systematic Mapping Study (SMS) to identify and categorize the types of methodologies that…
Descriptors: Foreign Countries, Undergraduate Study, Programming, Computer Science Education
Ye Jia; Xiangzhi Eric Wang; Zackary P. T. Sin; Chen Li; Peter H. F. Ng; Xiao Huang; George Baciu; Jiannong Cao; Qing Li – IEEE Transactions on Learning Technologies, 2024
One of the promises of edu-metaverse is its ability to provide a virtual environment that enables us to engage in learning activities that are similar to or on par with reality. The digital enhancements introduced in a virtual environment contribute to our increased expectations of novel learning experiences. However, despite its promising…
Descriptors: Computer Simulation, Educational Technology, Learning Processes, Socialization
Dadang Sudana; Tri Indri Hardini; Mahardhika Zifana – International Journal of Language Education, 2024
A tension exists between rationalists and empiricists regarding the nature of knowledge: innate then activated/discovered (rationalists) or constructed then invented (empiricists). The assumption is that, to a certain extent, basic knowledge seems to be innate in our mind and develops through experience by thinking processes to construct meanings.…
Descriptors: Indonesian, Verbs, Teaching Methods, Semantics
Shen Ba; Xiao Hu; David Stein; Qingtang Liu – British Journal of Educational Technology, 2024
Accurate assessment and effective feedback are crucial for cultivating learners' abilities of collaborative problem-solving and critical thinking in online inquiry-based discussions. Based on quantitative content analysis (QCA), there has been a methodological evolvement from descriptive statistics to sequential mining and to network analysis for…
Descriptors: Electronic Learning, Discussion, Learning Trajectories, Thinking Skills
Cassandra Artman Collier; Anne L. Powell – Journal of Information Systems Education, 2024
As organizations' reliance on data increases, the prevalence of data analytics programs in universities likewise increases. However, despite this specialized education, scholars still report a gap between the knowledge and skills students graduate with and those required by industry upon beginning work as an entry-level data analyst. We draw on…
Descriptors: Data Analysis, Information Systems, Educational Research, Data Collection
Seok-Hyun Ga; Hyun-Jung Cha; Hye-Gyoung Yoon – Journal of Science Education and Technology, 2024
As augmented reality (AR) gains prevalence, various AR exhibits are being installed in science museums. However, few research has thus far examined the extent to which these exhibits can improve visitors' learning. This study qualitatively evaluates the effectiveness of an AR dinosaur exhibit at the Gwacheon National Science Museum in Korea and…
Descriptors: Exhibits, Museums, Computer Simulation, Sciences
Edwin Chng – Journal of Science Education and Technology, 2024
With teachers continuing to report challenges in classroom management and difficulties in implementing scientific inquiry, the current manner in which science practical work is conducted in schools suggests the need for added teacher support. In this regard, we can leverage computer vision to provide instructional support by relieving teachers of…
Descriptors: Artificial Intelligence, Science Education, Computer Uses in Education, Science Teachers
Amanda Nolte; Hilary Mead; Chrystalla Mouza; Rosalie Rolón-Dow; Sotheara Veng; Lori Pollock – Journal of Technology and Teacher Education, 2024
Teachers' lack of knowledge abound computational thinking (CT) and limited opportunities to incorporate CT in existing curricula pose unique challenges at the elementary level. Despite the crucial role of professional development (PD) in preparing elementary school teachers to integrate CT in classroom instruction, there is little research…
Descriptors: Computation, Interdisciplinary Approach, Faculty Development, Computer Science Education
Kevin Johnston; Norman van Wyk; Joachim Schuler; Brian Eyre – International Society for Technology, Education, and Science, 2024
To create a Futures Literacy course. Background: A previously developed and tested Framework to develop IT courses for emerging technologies was used to develop a Futures Literacy course. A literature review was conducted to discover theories, models, and frameworks that could be used to create IT courses. A Course Development Framework was used…
Descriptors: Computer Science Education, Curriculum Development, Course Content, Futures (of Society)
Denis Shchepakin; Sreecharan Sankaranarayanan; Dawn Zimmaro – International Educational Data Mining Society, 2024
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery for a knowledge component. The learner's state is a "hidden" binary variable updated based on the correctness of the learner's responses to questions corresponding to that knowledge component. The parameters used for this update are inferred/learned…
Descriptors: Algorithms, Bayesian Statistics, Probability, Artificial Intelligence
Mehmet Arif Demirta¸; Max Fowler; Kathryn Cunningham – International Educational Data Mining Society, 2024
Analyzing which skills students develop in introductory programming education is an important question for the computer science education community. These key skills and concepts have been formalized as knowledge components, which are units of knowledge that can be measured by performance on a set of tasks. While knowledge components in other…
Descriptors: Programming, Computer Science Education, Skill Development, Knowledge Level
Lucas Kohnke – SpringerBriefs in Education, 2024
This book examines teacher professional development (TPD) models to integrate microlearning into TPD training and serves as a concise but comprehensive introduction to the field. This book covers critical teacher professional development and microlearning aspects, including artificial intelligence, virtual reality, augmented reality, and mixed…
Descriptors: Digital Literacy, Competence, Microteaching, Teacher Education Programs
Kerimbayev, Nurassyl; Nurym, Nurdaulet; Akramova, ?liya; Abdykarimova, Saule – Education and Information Technologies, 2020
The study considers the problems relating to vocational training of specialists in the virtual educational environment of a higher education institution. The use of advanced information and communication systems (electronic mail, electronic teleconferences, electronic and information resources including text, visual, audio and video information)…
Descriptors: Vocational Education, Computer Simulation, Information Systems, Computer Games
Hoog, Tanner G.; Aufdembrink, Lauren M.; Gaut, Nathaniel J.; Sung, Rou-Jia; Adamala, Katarzyna P.; Engelhart, Aaron E. – Biochemistry and Molecular Biology Education, 2020
Structural biology education commonly employs molecular visualization software, such as PyMol, RasMol, and VMD, to allow students to appreciate structure--function relationships in biomolecules. In on-ground, classroom-based education, these programs are commonly used on University-owned devices with software preinstalled. Remote education…
Descriptors: Technology Uses in Education, Handheld Devices, Telecommunications, Computer Simulation
Hosseini, Roya; Akhuseyinoglu, Kamil; Brusilovsky, Peter; Malmi, Lauri; Pollari-Malmi, Kerttu; Schunn, Christian; Sirkiä, Teemu – International Journal of Artificial Intelligence in Education, 2020
This research is focused on how to support students' acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student's learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage…
Descriptors: Programming, Computer Science Education, Problem Solving, Learner Engagement

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